code: def kl_divergence(mean, logvar):
      return -0.5 * jnp.sum(
          1 + logvar - jnp.square(mean) - jnp.exp(logvar)
      )
  
file_path: flax/examples/vae/train.py
imports: from absl import logging
  from flax import linen
  import input_pipeline
  import models
  import utils
  from flax.training import train_state
  import jax
  from jax import random
  import jax.numpy
  import ml_collections
  import optax
  import tensorflow_datasets
label_desc: Use image node_id 1 for calling a global function with example usage: kl_divergence(mean, logvar) and returns: unknown